MAT 410: Operations Research

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MAT 410: Operations Research

Course Prerequisites

MAT 375 with a grade of C or better

Course Description

This course introduces students to deterministic modeling in the field of operations research. Using a scenario- based approach, students will explore linear, integer, and nonlinear programming as applied to classical and contemporary optimization problems.

Course Outcomes

· Build linear programming models that successfully address real-world operations research scenarios

· Optimize linear objective functions using the simplex method and applying duality theory

· Interpret the results of sensitivity analyses to investigate how changes in the parameters of a linear programming problem affect its optimal solution

· Analyze real-world problems to determine the appropriate linear, nonlinear, and integer models for application

· Communicate operations research and mathematical concepts effectively to a variety of audiences

Required Materials

Using your learning resources is critical to your success in this course. Please purchase directly through the

SNHU Online Bookstore rather than any other vendor. Purchasing directly from the bookstore ensures that you will obtain the correct materials and that the IT Service Desk, your advisor, and the instructor can provide you  with support if you have problems.

Operations Research: An Introduction

Hamdy A. Taha

Prentice Hall, Inc.

Tenth Edition

2017

ISBN: 978-0-13-448019-0

Technical Requirements

Make sure you’ve met the technical requirements to complete this course.

Diversity, Equity, and Inclusion

As indicated in our core values, SNHU is committed to “embrace diversity where we encourage and respect diverse identities, ideas, and perspectives by honoring difference, amplifying belonging, engaging civilly, and breaking down barriers to bring our mission to life.”

This may or will be reflected in SNHU’s curriculum as we embrace and practice diversity, equity, and inclusion (DEI) to provide the most transformative experience for our students, faculty, and staff. Because topics pertaining to DEI can be sensitive, please remember that embodying and practicing diversity, equity, and inclusion is one of our core values that you will encounter throughout the academic experience. In higher education, we are expected to think and engage critically. Use a growth mindset to embrace the diverse readings, course assignments, and experiences of your peers and faculty.

For more information about DEI at SNHU, please visit our website at the Office of Diversity and Inclusion.

Instructor Availability and Response Time

Your class interaction with the instructor and your classmates will take place on a regular, ongoing basis. Your instructor will be actively engaged within the course throughout the week. You will normally communicate with your instructor in the weekly discussions or the General Questions discussion topic so that your questions and the instructor’s answers benefit the entire class. You should feel free, however, to communicate with your instructor via SNHU email at any time, particularly when you want to discuss something of a personal or sensitive nature. Your instructor will generally provide a response within 24 hours. Instructors will post grades and feedback (as applicable) within seven days of an assignment’s due date, or within seven days of a late submission.

Grading

Grade Distribution

Assignment Category  Number of Graded Items Point Value per Item Total Points

Discussions                    8                                            15                                  120

Quizzes                           8                                           35                                 280

Problem Sets                   5                                          30                                  150

Final Project

Milestone One      1                                          50                                50

Milestone Two      1                                          100                                100

Final Submission  1                                           200                               200

Model Selection Project 1                                            100                                100

Total Course Points: 1,000

This course may also contain non-graded activities. The purpose of these non-graded activities is to assist you in mastering the learning outcomes in the graded activity items listed above.

University Grading System: Undergraduate

University Grading System:

Undergraduate

Grade Numerical Equivalent Points

A

93–100

4

A-

90–92

3.67

B+

87–89

3.33

B

83–86

3

B-

80–82

2.67

C+

77–79

2.33

C

73–76

2

C-

70–72

1.67

D+

67-69

1.33

D

60-66

1

F

0–59

0

I          Incomplete

IF        Incomplete/Failure *

IP        In Progress (past end of term)

W        Withdrawn

* Please refer to the policy page for information on the incomplete grade process.





2024-03-09